This topic area focuses on programs, courses, and other interventions designed to foster interest and success among girls and women in STEM fields. CLEAR identified causal research that examined the effectiveness of these interventions and reviewed the studies against the causal guidelines.
Women in Science, Technology, Engineering, & Math (STEM)
Status: Literature reviewed in this topic area currently covers 1994 - 2014.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 95
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effectiveness of the ADVANCE institutional transformation program (ADVANCE-IT) sponsored by the National Science Foundation (NSF) in advancing women’s…Study Type: Causal Impact Analysis
This paper evaluated the effects of the Computer Science, Engineering, and Mathematics Scholarship (CSEMS) program at Wright State University (WSU) on educational outcomes. The study used academic…Study Type: Causal Impact Analysis
This study’s objective was to examine the effect of the ADVANCE program sponsored by the National Science Foundation (NSF) on women’s representation among tenured and tenure-track faculty. The study…Study Type: Causal Impact Analysis
The study’s objective was to assess the long-term impact of Camp Reach, a summer engineering enrichment program for middle school girls, on enrollment in STEM courses in high school and college.…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of two competitive grants that funded activities to support women in nontraditional occupations on women’s probability of employment in those…Study Type: Causal Impact Analysis
This study’s objective was to examine differences in the intended choice of college science, technology, engineering, and mathematics (STEM) majors between females and males enrolled in high school…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of alleviating women’s stereotype threat—that is, the idea that men outperform women in mathematics—on women’s subsequent performance on a difficult…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of New York City (NYC) STEM high schools on math and science test-taking behavior and scores. The study used regression analyses to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Gateway Science Workshop (GSW) program at a university in the United States on course grades. Using administrative data on course grades from…Study Type: Causal Impact Analysis
The study examined the effect of providing information about effort requirements to succeed in a fictitious male-dominated eco-psychology master’s program on female students’ attitudes toward their…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.